Article

Sparse Dimensionality Reduction Approaches in Mendelian Randomization with highly correlated exposures

2022-06-16

Abstract excerpt

<h4>ABSTRACT</h4> Multivariable Mendelian randomization (MVMR) is an instrumental variable technique that generalizes the MR framework for multiple exposures. Framed as a linear regression problem, it is subject to the pitfall of multi-collinearity. The bias and efficiency of MVMR estimates thus depends on the correlation of exposures. Dimensionality reduction techniques such as principal component analysis (PCA)...

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Literature Corpus work: a432642d-27c4-5ae3-bcfe-03046623871f
DOI: 10.1101/2022.06.15.22276455

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